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Mapping microphytobenthos in the intertidal zone of Northern ...

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Chl a concentrations <strong>in</strong> <strong>the</strong> supernatant have <strong>the</strong>n been converted <strong>in</strong> terms <strong>of</strong> Chl a per surface unit (Chl a, mg.m -2 )<br />

tak<strong>in</strong>g <strong>in</strong>to account <strong>the</strong> surface <strong>of</strong> <strong>the</strong> sampl<strong>in</strong>g units.<br />

2.3. Reflectance spectra analysis<br />

In <strong>the</strong> field reflectance spectra, Chl a absorption is located around 673 nm which is a different wavelength position<br />

than what is published for pure pigment (665 nm, [37], [38]). This is probably due to <strong>the</strong> fact that this wavelength<br />

position is for pure pigment <strong>in</strong> a solvent and not <strong>in</strong> a leav<strong>in</strong>g cell. Some tests we performed <strong>in</strong> <strong>the</strong> laboratory with<br />

monospecific cultures also show an absorption located around 673 nm. The importance <strong>of</strong> <strong>the</strong> absorption is directly<br />

related to pigment concentration and was estimated us<strong>in</strong>g three different and simple approaches (Figure 2).<br />

2.3.1. S<strong>in</strong>gle band ratio (Figure 2a)<br />

This approach is a method that has been classically used <strong>in</strong> spectroscopy and remote sens<strong>in</strong>g <strong>in</strong> general to measure<br />

amounts <strong>of</strong> atmospheric or surface components. It is based on differential absorption concept ([39], [40]) which<br />

consists <strong>of</strong> a simple ratio between reflectance at maximum absorption (Rb) and reflectance outside <strong>the</strong> absorption,<br />

referred to as <strong>the</strong> cont<strong>in</strong>uum (Rc). Here we used a ratio between reflectance at 673 nm (absorption) and reflectance<br />

at 720 nm (cont<strong>in</strong>uum).<br />

2.3.2. Normalized ratio (or scaled band depth) (Figure 2b, 2c)<br />

S<strong>in</strong>ce <strong>the</strong> objective is to develop a simple method that has to be <strong>in</strong>dependent from measurement conditions, one<br />

needs to perform some k<strong>in</strong>d <strong>of</strong> normalization <strong>in</strong> order to remove <strong>the</strong> <strong>in</strong>fluence <strong>of</strong> o<strong>the</strong>r parameters on <strong>the</strong> spectral<br />

signature and concentrate on <strong>the</strong> chlorophyll absorption itself. For example, it is well known that sediment gra<strong>in</strong><br />

size <strong>in</strong>fluences <strong>the</strong> diffus<strong>in</strong>g part <strong>of</strong> light, <strong>the</strong>refore chang<strong>in</strong>g <strong>the</strong> general shape <strong>of</strong> <strong>the</strong> spectrum through a<br />

modification <strong>of</strong> <strong>the</strong> spectral dependency <strong>of</strong> <strong>the</strong> diffusion ([41], [42]). Spectral shape is also <strong>in</strong>fluenced by sediment<br />

optical properties such as refract<strong>in</strong>g <strong>in</strong>dex related to sediment composition. Sediment moisture content will also<br />

modify <strong>the</strong> spectral signature (enhanced liquid water absorptions, level change <strong>of</strong> <strong>the</strong> general reflectance).<br />

Remov<strong>in</strong>g <strong>the</strong> cont<strong>in</strong>uum <strong>of</strong> <strong>the</strong> spectrum allows isolat<strong>in</strong>g <strong>the</strong> spectral feature from o<strong>the</strong>r effects. This approach was<br />

proposed by Clark and Roush [43] who determ<strong>in</strong>ed <strong>the</strong> depth <strong>of</strong> a spectral absorption feature and related it to frost<br />

gra<strong>in</strong> size and by Clark [44] and Clark et al. [45] and references <strong>the</strong>re<strong>in</strong> for applications to rocks and m<strong>in</strong>erals. The<br />

scaled band depth Db is calculated as <strong>the</strong> difference between <strong>the</strong> cont<strong>in</strong>uum reflectance Rc and <strong>the</strong> reflectance<br />

spectrum Rb <strong>in</strong> <strong>the</strong> deepest part <strong>of</strong> <strong>the</strong> absorption band, normalized by <strong>the</strong> cont<strong>in</strong>uum reflectance:<br />

Db = (Rc – Rb) / Rc. (2)<br />

While this band depth method is a valuable approach to <strong>the</strong> problem, its reliance on a s<strong>in</strong>gle band causes <strong>the</strong><br />

accuracy <strong>of</strong> <strong>the</strong> results to suffer <strong>in</strong> <strong>the</strong> presence <strong>of</strong> noise <strong>in</strong> <strong>the</strong> reflectance spectrum. Noise-<strong>in</strong>duced changes <strong>in</strong> <strong>the</strong><br />

spectrum affect <strong>the</strong> depth <strong>of</strong> <strong>the</strong> absorption feature and may give erroneous chlorophyll concentration estimates.<br />

2.3.3. Integral after cont<strong>in</strong>uum removal (scaled band area) (Figure 2d)<br />

To m<strong>in</strong>imize any effects <strong>of</strong> <strong>in</strong>strumental noise on chlorophyll retrievals, we also tested <strong>the</strong> use <strong>of</strong> <strong>the</strong> scaled area <strong>of</strong><br />

<strong>the</strong> absorption feature Ab ra<strong>the</strong>r than simply <strong>the</strong> scaled absorption band depth. This approach was used by Nol<strong>in</strong> and<br />

Dozier [46] to estimate snow gra<strong>in</strong> size from hyperspectral data. Scaled band area is a dimensionless quantity and is<br />

calculated by <strong>in</strong>tegrat<strong>in</strong>g <strong>the</strong> scaled absorption band depth over <strong>the</strong> wavelengths <strong>of</strong> <strong>the</strong> absorption feature:<br />

Ab = ∫λ (Rc – Rb) / Rc. (3)<br />

The basic assumption is that <strong>the</strong> noise is randomly distributed Gaussian noise (“white noise”). While <strong>the</strong> exact<br />

distribution <strong>of</strong> sensor noise is not known, a normal distribution is a reasonable assumption and has been used by<br />

o<strong>the</strong>rs <strong>in</strong> exam<strong>in</strong><strong>in</strong>g sensor noise characteristics ([47]). By <strong>in</strong>tegrat<strong>in</strong>g over <strong>the</strong> absorption feature, <strong>the</strong> fluctuations<br />

caused by noise should average out and produce an estimate closer to <strong>the</strong> true value. Integration was restricted to<br />

<strong>the</strong> [650 – 720 nm] wavelength range <strong>in</strong> order to exclude <strong>in</strong>fluence <strong>of</strong> o<strong>the</strong>r absorb<strong>in</strong>g pigments such as Chlorophyll<br />

c (absorption at 590 and 635 nm).<br />

398

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